PAKDD'11 Tutorial: Handling Concept Drift: Importance, Challenges and Solutions, Shenzen, China

Event Date: 
27 May 2011 - 14:06

Handling Concept Drift: Importance, Challenges and Solutions

Tutorial at PAKDD'11

Shenzen China, 27 May 2011

In the real world data often arrives in streams and is evolving over time. As a result predictions may become less accurate as time passes. Therefore, learning models need to adapt to changes quickly and accurately. The tutorial aims to provide a unifying view on the basic and applied concept drift research in data mining and related areas.

Presenters: Albert Bifet (University of Waikato, New Zealand), João Gama (University of Porto, Portugal), Mykola Pechenizkiy (Eindhoven University of Technology, the Netherlands), Indre Zliobaite (Bournemouth University, UK).